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Journals / Hacettepe Journal of Mathematics and Statistics / 2019 / Cilt: 48 - Sayı: 3

A New Defuzzification Method for Solving Fuzzy Mathematical Programming Problems

Amin VAHİDİ
Pages
845–858
Publication Date
2019-06-15
DOI
—
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

The proposed method generates improved solutions in less time and requires less monitoring during the problem-solving proce-dure.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Solving a certain type of Fuzzy mathematical programming (FMP) require several steps and manual intervention in the solution process.
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Key Findings & Data:Therefore, it reduces the optimality and increases the solving time.
💡
Conclusion & Impact:The proposed method generates improved solutions in less time and requires less monitoring during the problem-solving proce-dure.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Linear programming · Fuzzy programming · Mathematical programming

Abstract

Solving a certain type of Fuzzy mathematical programming (FMP) require several steps and manual intervention in the solution process. Therefore, it reduces the optimality and increases the solving time. In this research, a methodology is pre-sented that, in addition to being applicable to all types of FMPs, increases optimali-ty and reduces the solving time. The proposed method generates improved solutions in less time and requires less monitoring during the problem-solving proce-dure.

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Cite This Article

VAHİDİ, A. (2019). A New Defuzzification Method for Solving Fuzzy Mathematical Programming Problems. Hacettepe Journal of Mathematics and Statistics, Cilt: 48 - Sayı: 3, 845–858. https://ajindex.com/articles/669370

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